IBM's Watson Could Help Subaru's EyeSight Technology
IBM’s Watson supercomputer might best be known for its appearance on Jeopardy, but it could also lend a helping hand in making cars safer.
Subaru parent company Fuji Heavy Industries has partnered with IBM Japan to develop advanced driver assist systems, leveraging its current EyeSight with IBM Japan’s knowledge of data analytics, cloud and artificial intelligence (AI) technologies.
Working with IBM Japan, Fuji Heavy Industries has developed a system that integrates and manages vast amounts of test image data, allowing engineers to quickly search for and analyze test images. The system, which began operating this month, is expected to lead to improved development efficiency, helping contribute towards more advanced driver assist systems.
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More interesting, however, is that Fuji Heavy Industries and IBM Japan plan to investigate the building of a new system that uses IBM Watson Internet of Things (IoT) for Automotive. Essentially serving as an IoT solution for the automotive industry based on IBM cloud, it could help develop next-generation driver assist systems featuring the latest technologies in the cloud and AI.
Like other automakers, Fuji Heavy Industries is aiming for “zero car accidents” in the future to promote safer roadways.
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Jason Siu began his career in automotive journalism in 2003 with Modified Magazine, a property previously held by VerticalScope. As the West Coast Editor, he played a pivotal role while also extending his expertise to Modified Luxury & Exotics and Modified Mustangs. Beyond his editorial work, Jason authored two notable Cartech books. His tenure at AutoGuide.com saw him immersed in the daily news cycle, yet his passion for hands-on evaluation led him to focus on testing and product reviews, offering well-rounded recommendations to AutoGuide readers. Currently, as the Content Director for VerticalScope, Jason spearheads the content strategy for an array of online publications, a role that has him at the helm of ensuring quality and consistency across the board.
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